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670,625 tools. Updated 2026-10-17 18:26

"A server for AWS (Amazon Web Services) integration" matching MCP tools:

  • Check which of the 11 Amazon marketplaces a keyword was observed in Amazon's own autocomplete suggestions, with first/last observed dates and an example current suggestion-list position per marketplace. Use when a seller asks 'does anyone type X on Amazon Germany/Japan/…', compares keyword presence across countries, or plans a marketplace expansion (pair with brand_xmarket / operator_xmarket_presence). Exact-keyword match — not volumes, not rankings. Amazon marketplaces only.
    ConnectorNo auth
  • Fetch a LIVE Amazon search-results page (SERP) right now — the ranked organic + sponsored listings a shopper would see this minute for a query, with position, ASIN, title, price, rating and badges. Use when the user wants CURRENT ranking/visibility: 'who ranks for "dog bed" on Amazon right now', 'is my ASIN on page 1 for this keyword', 'what's sponsored vs organic for this search'. This is a real-time fetch (takes ~10-40 seconds) — for warehouse keyword search use search_products; for buying advice use shopping_search. Amazon marketplaces only; up to 3 pages per call.
    ConnectorNo auth
  • Amazon's results page for a search: organic and sponsored products in order, with price, rating, reviews, bought-past-month and badges. Use when: "who ranks on Amazon for standing desk", "which brands buy Amazon ads for this search", "what do top products in this category cost". Not for: one product's full listing, use amazon_get_product. Google Shopping, use shopping_search_products. Amazon search volume, use amazon_get_keyword_metrics. Returns: Record. keyword, results_count, rows[]: rank, type (organic | sponsored), asin, title, url, image_url, price, price_to, currency, rating, ratings_count, bought_past_month, is_amazon_choice, is_best_seller, offers[] (badges). related_searches[] (can be empty). Params: keyword (required), depth (100, max 700; billed per 100), location ("United States"; the country picks the Amazon marketplace), language ("en"), max_credits, dry_run. Cost: 2 credits per 100 results. Default 100 = 2 credits. Cached 1 day. Example: {"keyword": "standing desk", "depth": 100}
    ConnectorAPI key
  • Schlaegt ein konkretes Produkt im aktuellen wohandy.de-Katalog per Produkt-ID (Amazon-ASIN bzw. externalId aus search_offers) ODER per Amazon-Produkt-URL nach. Liefert Bestpreis, 30-Tage-Preisstatistik und den Angebots-Link. Genau eines der Felder id/url angeben. Looks up a specific product in the wohandy.de catalog by ID (ASIN/externalId) or Amazon product URL (read-only).
    ConnectorNo auth
  • Create an idempotent, auditable write intent to change the state of one or more EXISTING product ads: enable, pause, or archive (archiving is dispatched as an Amazon delete, not a state PUT). ad_id must be the Amazon product ad's own id (not its ASIN or its ad group id); a request for a state the ad is already in is rejected at prepare time. Nothing changes on Amazon or in Sellantica until the returned request is confirmed via approve_write_v1 and then execute_write_v1. The preview states `will_dispatch`: true means execute_write_v1 sends it to Amazon, false (execution_mode PREVIEW_ONLY) means it is recorded and never sent. To create a brand-new product ad instead of changing an existing one's state, use prepare_product_ad_create_v1.
    Connector
    Destructive
    OAuth
  • Monthly Amazon search volume for up to 1,000 keywords you already have, in the order given. Use when: "how many people search Amazon for X", comparing Amazon demand with Google demand, sizing a product idea on Amazon. Not for: Google volume, use seo_get_keyword_metrics. Finding keywords, use amazon_search_keywords. Returns: List. rows[]: keyword, volume (monthly Amazon searches; null = no data). Params: keywords (required; 1 to 1000), location ("United States"), language ("en"), max_credits, dry_run. Cost: 5 + 5 per 100 keywords. 10 keywords = 6 credits. Cached 7 days. Example: {"keywords": ["standing desk", "desk converter"]}
    ConnectorAPI key

Matching MCP Servers

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    B
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    A client-side MCP proxy that injects OAuth 2.0 bearer tokens or API keys into MCP requests, enabling MCP clients to connect to OAuth/API-key-protected MCP servers like Amazon Bedrock AgentCore Gateway. It automatically fetches and refreshes credentials using AgentCore Identity or static values.
    MIT No Attribution

Matching MCP Connectors

  • The AWS Knowledge MCP server is a fully managed remote Model Context Protocol server that provides real-time access to official AWS content in an LLM-compatible format. It offers structured access to AWS documentation, code samples, blog posts, What's New announcements, Well-Architected best practices, and regional availability information for AWS APIs and CloudFormation resources. Key capabilities include searching and reading documentation in markdown format, getting content recommendations, listing AWS regions, and checking regional availability for services and features.

  • Validate Amazonbot and Amzn-SearchBot IP addresses. Remote MCP validate_ip tool.

  • Schlaegt ein konkretes Produkt im aktuellen wokonsole.de-Katalog per Produkt-ID (Amazon-ASIN bzw. externalId aus search_offers) ODER per Amazon-Produkt-URL nach. Liefert Bestpreis, 30-Tage-Preisstatistik und den Angebots-Link. Genau eines der Felder id/url angeben. Looks up a specific product in the wokonsole.de catalog by ID (ASIN/externalId) or Amazon product URL (read-only).
    ConnectorNo auth
  • Returns the department and subcategory values amazon-charts accepts for a given chart. Omit department to list a chart's top-level departments; pass a department (and optionally a node) to get that category's own name plus its immediate child categories. Use amazon_charts to retrieve amazon product charts.
    ConnectorNo auth
  • Preview applying one or more pending BUDGET DomainActionProposal rows -- the same ledger DomainProposalApplyView applies for the web UI's budget recommendations. proposal_ids come from get_domain_proposals; nothing changes on Amazon or in Sellantica until the returned request is confirmed via approve_write_v1 and then execute_write_v1. After execute the request is DISPATCHED: the apply runs in the background, and the request reaches SUCCEEDED, PARTIAL, FAILED or MANUAL_REVIEW only once it has finished, so poll get_write_request_v1.
    Connector
    Destructive
    OAuth
  • Returns the department and subcategory values amazon-charts accepts for a given chart. Omit department to list a chart's top-level departments; pass a department (and optionally a node) to get that category's own name plus its immediate child categories. Use amazon_charts to retrieve amazon product charts.
    ConnectorNo auth
  • Amazon searches one product ranks for, with monthly Amazon search volume and its position, organic or sponsored. Use when: "what does this ASIN rank for on Amazon", "which searches bring competitor's product its sales", choosing keywords for a listing title. Not for: Google rankings, use seo_get_ranked_keywords. New keyword ideas, use amazon_search_keywords. Returns: List. rows[]: keyword, volume (monthly Amazon searches), rank (position on the results page, counting organic and sponsored rows), type (organic | sponsored), results_count. Sorted by volume, biggest first. Params: asin (required), location ("United States"), language ("en"), limit (100, max 1000), cursor, max_credits, dry_run. Cost: 5 + 5 per 100 rows. Default 100 rows = 10 credits. Cached 7 days. Example: {"asin": "B0B41YH9B6", "limit": 50}
    ConnectorAPI key
  • Amazon products that compete with one product for the same searches, with how many they share and how each ranks. Use when: "which products compete with ours on Amazon", "who shows up beside this ASIN", building a competitor set for a listing. Not for: the results for one search, use amazon_search_products. Web competitors, use seo_get_serp_competitors. Returns: List. rows[]: asin, shared_keywords, avg_position, organic_keywords, organic_volume, sponsored_keywords. ASINs only: call amazon_get_product for a title. The product itself is left out. Params: asin (required), location ("United States"), language ("en"), limit (100, max 1000), cursor, max_credits, dry_run. Cost: 5 + 5 per 100 rows. Default 100 rows = 10 credits. Cached 7 days. Example: {"asin": "B0B41YH9B6", "limit": 20}
    ConnectorAPI key
  • INSPECTION: Inspect AWS infrastructure for a deployed project ⚠️ **PREREQUISITE**: This tool requires a prior deployment ATTEMPT (successful or failed). Check convostatus for hasDeployAttempt=true before calling. Works even after failed deploys to inspect orphaned resources. Inspect deployed AWS resources after a deployment attempt. Use this tool when the user asks about the status or details of their deployed infrastructure. It fetches temporary read-only credentials securely and queries the AWS API directly. RESPONSE TIERS (default is summary for token efficiency): - Summary (default): Key fields only (~500 tokens). Set detail=false, raw=false or omit both. - Detail: Full metadata for a specific resource. Set detail=true + resource filter. - Raw: Complete unprocessed API response. Set raw=true. REQUIRES: session_id from convoopen response (format: sess_v2_...). Supported services: account, acm, alb, apigateway, apprunner, backup, bedrock, cloudfront, cloudwatchlogs, cognito, cost-explorer, dynamodb, ebs, ec2, ecs, eks, elasticache, kms, lambda, msk, opensearch, rds, route53, s3, sagemaker, secretsmanager, sqs, vpc, waf For a specific service's actions, call with action="list-actions". METRICS: Use list-metrics to discover available metrics for a service (no credentials needed). Then use get-metrics to retrieve data (auto-discovers resources). Most services return CloudWatch time-series. KMS returns key health (rotation, state). SecretsManager returns secret health (rotation, last accessed/rotated). Optional filters JSON: {"hours":6,"period":300}. BILLING: Use service=cost-explorer to inspect AWS costs. Actions: get-cost-summary (last 30 days by service, filters: {"days":7,"granularity":"DAILY"}), get-cost-forecast (projected spend through end of month), get-cost-by-tag (costs grouped by tag, filters: {"tag_key":"Environment","days":30}). Requires ce:GetCostAndUsage and ce:GetCostForecast IAM permissions. EXAMPLES: - awsinspect(session_id=..., service="ec2", action="describe-instances") - awsinspect(session_id=..., service="cost-explorer", action="get-cost-summary") - awsinspect(session_id=..., service="ec2", action="get-metrics", filters="{\"hours\":6}") - awsinspect(session_id=..., service="rds", action="describe-db-instances", detail=true)
    ConnectorNo auth
  • Fetch full AWS doc pages as markdown. `search_documentation` already returns verbatim page chunks, so don't re-read a URL whose chunk you already have to "confirm" or "round out" an answer -- the chunk is the real page text; treat it as authoritative. Reading the full page is justified ONLY when the chunks genuinely lack the content: - an enumeration or aggregation ("list all X", "how many X") needs the complete set and the chunks show only part of it; - no search result is on-topic after refining the query, and a known doc URL would have the answer. Otherwise, answer from the chunks. Use exact URLs from `search_documentation`; don't guess slugs. Input: `requests: [{url, max_length?, start_index?}]`. Batch 2-5. - `max_length` default 10000. - `start_index` default 0; use prior `end_index` to continue, TOC offset to jump. Allow-listed prefixes: docs.aws.amazon.com; aws.amazon.com (not /marketplace); repost.aws/knowledge-center; docs.amplify.aws; ui.docs.amplify.aws; github.com/{aws-cloudformation/aws-cloudformation-templates, aws-samples/{aws-cdk-examples, generative-ai-cdk-constructs-samples, serverless-patterns}, awsdocs/aws-cdk-guide, awslabs/aws-solutions-constructs, cdklabs/cdk-nag} (README on `main`); constructs.dev/packages/{@aws-cdk-containers, @aws-cdk, @cdk-cloudformation, aws-analytics-reference-architecture, aws-cdk-lib, cdk-amazon-chime-resources, cdk-aws-lambda-powertools-layer, cdk-ecr-deployment, cdk-lambda-powertools-python-layer, cdk-serverless-clamscan, cdk8s, cdk8s-plus-33}; strandsagents.com/latest/documentation/docs/; karpenter.sh/docs/; Amazon Braket: {amazon-braket-sdk-python, amazon-braket-schemas-python, amazon-braket-default-simulator-python, amazon-braket-pennylane-plugin-python, amazon-braket-algorithm-library, qiskit-braket-provider, autoqasm, qirtoqasm}.readthedocs.io and github.com/amazon-braket/* (blob/tree/raw). Output: SUCCESS -- markdown + `total_length, start_index, end_index, truncated, redirected_url?` (truncated includes TOC with char ranges). ERROR -- `error_code` in {not_found, invalid_url, throttled, downstream_error, validation_error}.
    ConnectorNo auth
  • Search XPay Hub for paid API services. Use this PROACTIVELY when the user asks you to: search the web, find emails, enrich contacts/companies, verify emails, find similar websites, extract web page content, get company news, search for people by title/company, get job postings, generate images, or any data lookup task. Returns matching servers with slugs, tool counts, and pricing. Use xpay_details next to see the full tool list for a server.
    ConnectorNo auth
  • INSPECTION: Inspect AWS infrastructure for a deployed project ⚠️ **PREREQUISITE**: This tool requires a prior deployment ATTEMPT (successful or failed). Check convostatus for hasDeployAttempt=true before calling. Works even after failed deploys to inspect orphaned resources. Inspect deployed AWS resources after a deployment attempt. Use this tool when the user asks about the status or details of their deployed infrastructure. It fetches temporary read-only credentials securely and queries the AWS API directly. RESPONSE TIERS (default is summary for token efficiency): - Summary (default): Key fields only (~500 tokens). Set detail=false, raw=false or omit both. - Detail: Full metadata for a specific resource. Set detail=true + resource filter. - Raw: Complete unprocessed API response. Set raw=true. REQUIRES: session_id from convoopen response (format: sess_v2_...). Supported services: account, acm, alb, apigateway, apprunner, backup, bedrock, cloudfront, cloudwatchlogs, cognito, cost-explorer, dynamodb, ebs, ec2, ecs, eks, elasticache, kms, lambda, msk, opensearch, rds, route53, s3, sagemaker, secretsmanager, sqs, vpc, waf For a specific service's actions, call with action="list-actions". METRICS: Use list-metrics to discover available metrics for a service (no credentials needed). Then use get-metrics to retrieve data (auto-discovers resources). Most services return CloudWatch time-series. KMS returns key health (rotation, state). SecretsManager returns secret health (rotation, last accessed/rotated). Optional filters JSON: {"hours":6,"period":300}. BILLING: Use service=cost-explorer to inspect AWS costs. Actions: get-cost-summary (last 30 days by service, filters: {"days":7,"granularity":"DAILY"}), get-cost-forecast (projected spend through end of month), get-cost-by-tag (costs grouped by tag, filters: {"tag_key":"Environment","days":30}). Requires ce:GetCostAndUsage and ce:GetCostForecast IAM permissions. EXAMPLES: - awsinspect(session_id=..., service="ec2", action="describe-instances") - awsinspect(session_id=..., service="cost-explorer", action="get-cost-summary") - awsinspect(session_id=..., service="ec2", action="get-metrics", filters="{\"hours\":6}") - awsinspect(session_id=..., service="rds", action="describe-db-instances", detail=true)
    ConnectorNo auth
  • Checks whether a public GitHub, GitLab or Bitbucket repository will deploy: the services it found, what's missing (each with its fix), the environment variables it needs, and what it would cost a month on DigitalOcean, AWS, Google Cloud and Azure. Reads the code and changes nothing. No API key needed. A check can take up to a minute; if it's still running, call again with the check_id it returned.
    ConnectorNo auth
  • Build a URL that searches Coinbase's x402 Bazaar (Agentic.Market) for a query. Use it when you want x402 services that may be missing from the Agentropolis index; it only returns a link for you or your user to open. Agentropolis makes no request to Coinbase and does not cache or republish Bazaar data (their terms forbid it). Read-only. Example: {"q":"web search"}.
    ConnectorNo auth
  • Preview applying one or more pending PLACEMENT DomainActionProposal rows -- the same ledger DomainProposalApplyView applies for the web UI's placement recommendations. proposal_ids come from get_domain_proposals; nothing changes on Amazon or in Sellantica until the returned request is confirmed via approve_write_v1 and then execute_write_v1. After execute the request is DISPATCHED: the apply runs in the background, and the request reaches SUCCEEDED, PARTIAL, FAILED or MANUAL_REVIEW only once it has finished, so poll get_write_request_v1.
    Connector
    Destructive
    OAuth
  • Use this when a seller asks whether they can sell a product on Amazon, Walmart, TikTok Shop or Etsy, to stores, or on their own website, and what each will ask for: "can I sell toys on Amazon?", "requirements for selling supplements on Amazon", "how do I get approved (ungated) to sell kids' clothes?", "Amazon asked for compliance documents, what do I send?", "can I sell a stroller on Etsy?". Give the product in the seller's words and the channels. It returns closed or restricted doors first, then each channel's own rules for that product and the US federal law that applies everywhere, each line numbered to its source with the page's date and the day it was read. It first needs the certificate answer for the product, so it may return questions instead: ask the seller all of them and call again with their answers. Do not use for duties, tariffs or customs classification (HS or HTS codes), for marketplaces outside the US (Amazon UK, Amazon.ca or EU sites, for example), or to promise that a listing will be approved.
    ConnectorNo auth
  • Amazon search ideas around a seed, from Amazon's related searches, with monthly Amazon search volume. Use when: "what else do people search on Amazon around X", building an Amazon keyword list for a listing or ads. Not for: Google keyword ideas, use seo_search_keywords. Volume for keywords you already have, use amazon_get_keyword_metrics. Returns: List. rows[]: keyword, volume. Params: seed (required), location ("United States"), language ("en"), limit (100, max 1000), cursor, max_credits, dry_run. Cost: 5 + 5 per 100 rows. Default 100 rows = 10 credits. Cached 7 days. Example: {"seed": "standing desk", "limit": 50}
    ConnectorAPI key